%0 Journal Article
%T Traffic pattern recognition method for novel elevator system<br>新型电梯群控系统交通模式识别方法
%A XU Yu-ge
%A LUO Fei
%A <br>许玉格
%A 罗飞
%J 控制理论与应用
%D 2005
%I 
%X The traffic pattern recognition is essential in elevator group control systems.Based on the varying elevator traffic flow data,a new elevator traffic flow pattern recognition method is presented.Without additional assignment,original traffic data is pretreated,and then an elevator traffic flow pattern recognition classifier based on multi-value support vector machines is built.The proposed pattern classifier can adaptively recognize the largest traffic flow floor in the building.Experimental results demonstrate that this method can recognize different traffic modes accurately and is better than the artificial neural-network method.
%K support vector machine
%K elevator group control systems
%K traffic flow
%K pattern recognition<br>支持向量机
%K 电梯群控系统
%K 交通流
%K 模式识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=7686D2697178FFC0&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=B31275AF3241DB2D&sid=F3FF3E69C64937E9&eid=46CB56AABC2765FF&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=6&reference_num=7